21 citations · 40 across the 9 of their papers we have counts for
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cs.LG2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran +1
Graph convolutional networks (GCNs) have achieved huge success in several machine learning (ML) tasks on graph-structured data. Recently, several sampling techniques have been prop…
cs.LG2023
Clustering Indices based Automatic Classification Model Selection
Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
Classification model selection is a process of identifying a suitable model class for a given classification task on a dataset. Traditionally, model selection is based on cross-val…